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- Faculty Publications (390)
Show Results For
-
All HBS Web
(1,353)
- People (4)
- News (416)
- Research (579)
- Events (9)
- Multimedia (20)
- Faculty Publications (390)
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- January 2008
- Article
Putting Leadership Back into Strategy
In recent decades an infusion of economics has lent the study of strategy much needed theory and empirical evidence. Strategy consultants, armed with frameworks and techniques, have stepped forward to help managers analyze their industries and position their companies...
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Keywords:
Leadership;
Growth and Development Strategy;
Managerial Roles;
Mission and Purpose;
Organizational Change and Adaptation;
Creativity;
Competitive Strategy;
Competitive Advantage
Montgomery, Cynthia A. "Putting Leadership Back into Strategy." Special Issue on HBS Centennial. Harvard Business Review 86, no. 1 (January 2008): 54–60.
- 27 Apr 2016
- Research & Ideas
How the FBI Reinvented Itself After 9/11
coordinate these cases with field offices from the top down. Many countries maintain two separate entities for law enforcement and national security: The United Kingdom has Scotland Yard and MI5, for example, and Canada has the Royal Canadian Mounted Police and the...
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by Carmen Nobel
- 2024
- Working Paper
Warnings and Endorsements: Improving Human-AI Collaboration Under Covariate Shift
By: Matthew DosSantos DiSorbo and Kris Ferreira
Problem definition: While artificial intelligence (AI) algorithms may perform well on data that are representative of the training set (inliers), they may err when extrapolating on non-representative data (outliers). These outliers often originate from covariate shift,...
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DosSantos DiSorbo, Matthew, and Kris Ferreira. "Warnings and Endorsements: Improving Human-AI Collaboration Under Covariate Shift." Working Paper, February 2024.
- March 2024
- Teaching Note
CoPilot(s): Generative AI at Microsoft and GitHub
By: Frank Nagle and Maria P. Roche
This teaching note is the companion to case N9-624-010 CoPilot(s): Generative AI at Microsoft and GitHub, which takes place in late 2021. The case briefly describes the history of both GitHub and Microsoft with a particular focus on open source software (OSS)—software...
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- 24 Apr 2023
- HBS Case
What Does It Take to Build as Much Buzz as Booze? Inside the Epic Challenge of Cannabis-Infused Drinks
impact can be limited by whether or not consumers can actually access the product. “You’re creating a lot of awareness with these ad campaigns,” says Israeli, who cofounded the Customer Intelligence Lab at the Digital, Data, and Design...
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- 22 Oct 2021
- Research & Ideas
Want Hybrid Work to Succeed? Trust, Don’t Track, Employees
Many employees are seeking a permanent change to their schedules and companies are adapting. A recent McKinsey survey found that 90 percent of companies are willing to accommodate them with plans for hybrid workplaces. "You have to trust that they are View Details
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by Michael Blanding
- 19 Jan 2015
- Research & Ideas
Is Wikipedia More Biased Than Encyclopædia Britannica?
point of view (NPOV). Who Is More Objective? But is objectivity better achieved by considering one viewpoint or thousands? Along with cowriter Shane Greenstein of Northwestern's Kellogg School of Management, Zhu asks that question in a new paper, Do Experts or...
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- March 2024 (Revised August 2024)
- Case
Darktrace: Scaling Cybersecurity and AI (A)
By: Jeffrey F. Rayport and Alexis Lefort
In 2023, Darktrace CEO Poppy Gustafsson was contemplating her growth strategy at a leading U.K.-based cybersecurity venture, launched in 2013 by a group of anti-terror cyber specialists, University of Cambridge mathematicians, and artificial intelligence (AI) experts....
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Keywords:
Technology;
Talent;
Scaling;
Entrepreneurship;
Cybersecurity;
Leadership;
Business Growth and Maturation;
Recruitment;
Resignation and Termination;
AI and Machine Learning;
Growth and Development Strategy;
Organizational Culture;
Going Public;
Technology Industry;
United Kingdom;
Europe;
United States
Rayport, Jeffrey F., and Alexis Lefort. "Darktrace: Scaling Cybersecurity and AI (A)." Harvard Business School Case 824-092, March 2024. (Revised August 2024.)
- October 2023
- Teaching Note
Timnit Gebru: 'SILENCED No More' on AI Bias and The Harms of Large Language Models
By: Tsedal Neeley and Tim Englehart
Teaching Note for HBS Case No. 422-085. Dr. Timnit Gebru—a leading artificial intelligence (AI) computer scientist and co-lead of Google’s Ethical AI team—was messaging with one of her colleagues when she saw the words: “Did you resign?? Megan sent an email saying that...
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- 2019
- Article
Overcoming Cultural Resistance to Open Source Innovation
By: John Winsor, Jin Hyun Paik, Michael Tushman and Karim R. Lakhani
Purpose: This article offers insight on how to effectively help incumbent organizations prepare for global business shifts to open source and digital business models.
Design/methodology/approach: Discussion related to observation, experience and case studies... View Details
Design/methodology/approach: Discussion related to observation, experience and case studies... View Details
Keywords:
Open Source Innovation;
Organizational Culture;
Organizational Change and Adaptation;
Business Model;
Technological Innovation;
Collaborative Innovation and Invention
Winsor, John, Jin Hyun Paik, Michael Tushman, and Karim R. Lakhani. "Overcoming Cultural Resistance to Open Source Innovation." Strategy & Leadership 47, no. 6 (2019): 28–33.
- 18 Jan 2022
- Research & Ideas
How Eliminating Non-Competes Could Reshape Tech
Second, advanced software algorithms and data-based artificial intelligence algorithms account for increasing amounts of trade secrets in technology. These technologies rely on massive stores of distributed computing and data built up...
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- 02 Jun 2022
- Research & Ideas
Blissful Thinking: When It Comes to Finding Happiness, 'Your Dreams Are Liars'
a game changer. So I wrote it up. It did change my life. I quit my job because of the findings in this book. Why? Because I came to the American Enterprise Institute with a lot of fluid intelligence to solve a lot of problems, to be on...
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by Dan Morrell
- Teaching Interest
Overview
Paul is primarily interested in teaching data science to management students through the case method. This includes technical topics (programming and statistics) as well as higher-level management issues (digital transformation, data governance, etc.) As a research...
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Keywords:
A/B Testing;
AI;
AI Algorithms;
AI Creativity;
Algorithm;
Algorithm Bias;
Algorithmic Bias;
Algorithmic Fairness;
Algorithms;
Analytics;
Application Program Interface;
Artificial Intelligence;
Causality;
Causal Inference;
Computing;
Computers;
Data Analysis;
Data Analytics;
Data Architecture;
Data As A Service;
Data Centers;
Data Governance;
Data Labeling;
Data Management;
Data Manipulation;
Data Mining;
Data Ownership;
Data Privacy;
Data Protection;
Data Science;
Data Science And Analytics Management;
Data Scientists;
Data Security;
Data Sharing;
Data Strategy;
Data Visualization;
Database;
Data-driven Decision-making;
Data-driven Management;
Data-driven Operations;
Datathon;
Economics Of AI;
Economics Of Innovation;
Economics Of Information System;
Economics Of Science;
Forecast;
Forecast Accuracy;
Forecasting;
Forecasting And Prediction;
Information Technology;
Machine Learning;
Machine Learning Models;
Prediction;
Prediction Error;
Predictive Analytics;
Predictive Models;
Analysis;
AI and Machine Learning;
Analytics and Data Science;
Applications and Software;
Digital Transformation;
Information Management;
Digital Strategy;
Technology Adoption
- February 2020
- Technical Note
Talent Management and the Future of Work
By: William R. Kerr and Gorick Ng
The nature of work is changing—and it is changing rapidly. Few days go by without industry giants such as Amazon and AT&T announcing plans to invest billions of dollars towards retraining nearly half of their respective workforces for jobs of the future. What changes...
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Keywords:
Human Resource Management;
Human Capital Development;
Human Resource Practices;
Talent;
Talent Acquisition;
Talent Development;
Talent Development And Retention;
Talent Management;
Talent Retention;
Labor Flows;
Labor Management;
Labor Market;
Strategy Development;
Strategy Management;
Strategy Execution;
Strategy And Execution;
Strategic Change;
Transformations;
Organization;
Organization Alignment;
Organization Design;
Organizational Adaptation;
Organizational Effectiveness;
Management Challenges;
Management Of Business And Political Risk;
Change Leadership;
Future Of Work;
Future;
Skills Gap;
Skills Development;
Skills;
Offshoring And Outsourcing;
Investment;
Capital Allocation;
Work;
Work Culture;
Work Force Management;
Work/life Balance;
Work/family Balance;
Work-family Boundary Management;
Workers;
Worker Productivity;
Worker Performance;
Work Engagement;
Work Environment;
Work Environments;
Productivity;
Organization Culture;
Soft Skills;
Technology Management;
Technological Change;
Technological Change: Choices And Consequences;
Technology Diffusion;
Disruptive Technology;
Global Business;
Global;
Workplace;
Workplace Context;
Workplace Culture;
Workplace Wellness;
Collaboration;
Competencies;
Productivity Gains;
Digital;
Digital Transition;
Competitive Dynamics;
Competitiveness;
Competitive Strategy;
Data Analytics;
Data;
Data Management;
Data Strategy;
Data Protection;
Aging Society;
Diversity;
Diversity Management;
Millennials;
Communication Complexity;
Communication Technologies;
International Business;
Work Sharing;
Global Competitiveness;
Global Corporate Cultures;
Intellectual Property;
Intellectual Property Management;
Intellectual Property Protection;
Intellectual Capital And Property Issues;
Globalization Of Supply Chain;
Inequality;
Recruiting;
Hiring;
Hiring Of Employees;
Training;
Job Cuts And Outsourcing;
Job Performance;
Job Search;
Job Design;
Job Satisfaction;
Jobs;
Employee Engagement;
Employee Attitude;
Employee Benefits;
Employee Compensation;
Employee Fairness;
Employee Relationship Management;
Employee Retention;
Employee Selection;
Employee Motivation;
Employee Feedback;
Employee Coordination;
Employee Performance Management;
Employee Socialization;
Process Improvement;
Application Performance Management;
Stigma;
Institutional Change;
Candidates;
Digital Enterprise;
Cultural Adaptation;
Cultural Change;
Cultural Diversity;
Cultural Context;
Cultural Strategies;
Cultural Psychology;
Cultural Reform;
Performance;
Performance Effectiveness;
Performance Management;
Performance Evaluation;
Performance Appraisal;
Performance Feedback;
Performance Measurement;
Performance Metrics;
Performance Measures;
Performance Efficiency;
Efficiency;
Performance Analysis;
Performance Appraisals;
Performance Improvement;
Automation;
Artificial Intelligence;
Technology Companies;
Managerial Processes;
Skilled Migration;
Assessment;
Human Resources;
Management;
Human Capital;
Talent and Talent Management;
Retention;
Demographics;
Labor;
Strategy;
Change;
Change Management;
Transformation;
Organizational Change and Adaptation;
Organizational Culture;
Working Conditions;
Information Technology;
Technology Adoption;
Disruption;
Economy;
Competition;
Globalization;
AI and Machine Learning;
Digital Transformation
Kerr, William R., and Gorick Ng. "Talent Management and the Future of Work." Harvard Business School Technical Note 820-084, February 2020.
- 11 Apr 2023
- Research & Ideas
Is Amazon a Retailer, a Tech Firm, or a Media Company? How AI Can Help Investors Decide
been the attitude toward artificial intelligence within institutional investing? Are investors embracing it? Is there skepticism? Awada: I can tell you from my previous work [as a hedge fund manager] I think that we’re always on the...
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- 30 May 2024
- Research & Ideas
Racial Bias Might Be Infecting Patient Portals. Can AI Help?
experiment with generative artificial intelligence (AI)—ramifications of its use on practice are just starting to be examined. The research sheds light on the biases that digital platforms, whether a simple messaging solution or a...
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- 19 Jan 2023
- Research & Ideas
What Makes Employees Trust (vs. Second-Guess) AI?
When an algorithm recommends ways to improve business outcomes, do employees trust it? Conventional wisdom suggests that understanding the inner workings of artificial intelligence (AI) can raise confidence in such programs. Yet, new...
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Keywords:
by Rachel Layne
- 25 Oct 2010
- HBS Case
Tesco’s Stumble into the US Market
from the United States. Wal-Mart tripped up badly in Germany. Tesco's international forays have hitherto been successful—with the possible exception of Japan. Tesco intelligently elected to concentrate on fast-growing, emerging economies...
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- 22 Jun 2022
- Book
Four Elements for Finding the Right Career Path
required, however, is an actual new experience about our current reality and both an implicit and symbolic understanding of that new experience. This will never come from employing our conditioned current mental model to problem solve, which is what our analytical...
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by Dina Gerdeman
- 20 Jul 2011
- Research & Ideas
Five Discovery Skills that Distinguish Great Innovators
performance of identical twins on a battery of ten creativity tests could be attributed to genetics. 6 In contrast, roughly 80 percent to 85 percent of the twins' performance on general intelligence (IQ) tests could be attributed to...
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